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A Study on Efficient Storage Method for High Density Raster Data  

JunJang, Young-Woon (전북대학교 대학원 토목공학과)
Choi, Yun-Woong (전북대학교 공학연구원 공업기술연구센터)
Lee, Hyo-Jong (전북대학교 공과대학 전자공학과)
Cho, Gi-Sung (전북대학교 공과대학 토목공학과, 공업기술연구센터)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.27, no.3, 2009 , pp. 401-408 More about this Journal
Abstract
A study for 3D-reconstruction and providing the geospatial information is in progress to many fields recently. For efficient providing the geospatial information, the present information has to be updated and be revised and then the latest geospatial information needs to be acquired economically. Especially, LiDAR system utilized in many study has a advantage to collect the 3D spacial data easily and densely that is possible to supply to the geospatial information. The 3D data of LiDAR is very suitable as a data for presenting 3D space, but in case of using the data without converting, the high performance processor is needed for presenting 2D forms from point data composed by 3D data. In comparison, basically the raster data structure of 2D form is more efficient than vector structure in cheap devices because of a simple structure and process speed. The purpose of this study, in case of supplying LiDAR data as 3D data, present the method that reconstructs to 2D raster data and convert to compression data applied by th tree construction in detail.
Keywords
LiDAR Data; Compression; Grid Data; Tree Structure;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 0
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